Exposes AI brand visibility analytics through six analysis operations: answer engine optimization scoring based on GEO research, two-phase YouTube authority analysis, Reddit community sentiment scraping, search visibility evaluation, direct LLM knowledge testing across Anthropic/OpenAI/Gemini/Grok, and composite brand intelligence scoring. Each operation returns structured data with visibility scores, competitive positioning, and optimization recommendations grounded in peer-reviewed research on how LLMs cite sources. Reach for this when you need to measure and improve how AI systems perceive a brand, whether you're debugging why Claude doesn't mention your product or optimizing content for AI Overview inclusion. The server uses OAuth 2.1 authentication and runs on a Go backend with MongoDB persistence.
claude mcp add --transport stdio jonradoff-llmopt uvx llmopt